docs: def _make_pheno_assoc(
              self, graph, gene_id, disorder_num, disorder_label, phene_key
      ):
  
          """
          From the docs:
          Brackets, "[ ]", indicate "nondiseases," mainly genetic variations
          that lead to apparently abnormal laboratory test values
          (e.g., dysalbuminemic euthyroidal hyperthyroxinemia).
  
          Braces, "{ }", indicate mutations that contribute to susceptibility
          to multifactorial disorders (e.g., diabetes, asthma) or to
          susceptibility to infection (e.g., malaria).
  
          A question mark, "?", before the phenotype name indicates that the
          relationship between the phenotype and gene is provisional.
          More details about this relationship are provided in the comment
          field of the map and in the gene and phenotype OMIM entries.
  
          Phene key:
          The number in parentheses after the name of each disorder indicates
          the following:
            (1) the disorder was positioned by mapping of the wildtype gene;
            (2) the disease phenotype itself was mapped;
            (3) the molecular basis of the disorder is known;
            (4) the disorder is a chromosome deletion or duplication syndrome.
  
          reference: https://omim.org/help/faq#1_6
  
          :param graph: graph object of type dipper.graph.Graph
          :param gene_id: str, gene id as curie
          :param gene_symbol: str, symbol
          :param disorder_num: str, disorder id
          :param disorder_label: str, disorder label
          :param phene_key: int or str, 1-4, see docstring
          :return:
          """
  
          disorder_id = ':'.join(('OMIM', disorder_num))
          rel_label = 'causes condition'
          rel_id = self.globaltt[rel_label]
  
          if disorder_label.startswith('['):
              rel_id = self.globaltt['is marker for']
              # rel_label = 'is a marker for'
          elif disorder_label.startswith('{'):
              rel_id = self.globaltt['contributes to']
              # rel_label = 'contributes to'
          elif disorder_label.startswith('?'):
              # this is a questionable mapping!  skip?
              rel_id = self.globaltt['contributes to']
  
          assoc = G2PAssoc(graph, self.name, gene_id, disorder_id, rel_id)
  
          if phene_key is not None:
              evidence = self.resolve(phene_key, False)
              if evidence != phene_key:
                  assoc.add_evidence(evidence)  # evidence is Found
  
          assoc.add_association_to_graph()